Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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Balinese PixelGPT Dataset

This dataset contains preprocessed Balinese text data for training PixelGPT models.

Dataset Statistics

Language: Balinese (bali)
Total samples: 54,467
Train samples: 54,017
Test samples: 450

Tokenizers

Grapheme tokenizer: izzako/javanese-llama-tokenizer
LLaMA tokenizer: ernie-research/DualGPT

Features

text_id: Document identifier
chunk_id: Chunk identifier within document
pixel_values: Rendered pixel representation of aksara text
grapheme_token_ids: Token IDs from grapheme-based tokenizer (with EOS token)
llama_token_ids: Token IDs from LLaMA tokenizer (with EOS token)
text: Original text chunk

Renderer Configuration

Renderer path: ../../renderers/m4_renderer

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("izzako/balinese-pixelgpt")

# Access train and test splits
train_data = dataset['train']
test_data = dataset['test']

# Example: Get first sample
sample = train_data[0]
print(sample['text'])

Citation

If you use this dataset, please cite:

@dataset{balinese_pixelgpt,
  title = {Balinese PixelGPT Dataset},
  author = {Musa Izzanardi Wijanarko},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/izzako/balinese-pixelgpt}
}

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